Understanding OpenAI's API Rate Limits: Best Practices For AI SaaS Developers

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  • čas pƙidĂĄn 7. 07. 2024
  • Dive into the significance of OpenAI's rate limits on API requests, especially for those building AI-powered Software as a Service (SaaS) solutions. Understand the reasons behind these restrictions and how they can impact your SaaS application.
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    Key Takeaways:
    ✩ Rationale Behind Rate Limits: Explore why OpenAI imposes rate limits, from ensuring fair usage to maintaining system stability.
    ✩ Implications for AI SaaS: Understand the potential challenges and considerations for SaaS developers when working within these limits.
    ✩ Best Practices: Learn strategies to optimize your requests and ensure uninterrupted service for your AI SaaS users.
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Komentáƙe • 8

  • @aidigitaldreams6155
    @aidigitaldreams6155 Pƙed 8 měsĂ­ci +1

    I hope I will need your skills if my Saas AI site gets going. I had a bad experience with the previous devs (went 3 months over launch date). If I do hit that limit (I hope) your services may be required. Great information, thanks.

    • @webcafeai
      @webcafeai  Pƙed 8 měsĂ­ci

      Glad you found value in this video!

  • @webcafeai
    @webcafeai  Pƙed 6 měsĂ­ci

    Navigate to key moments👇
    made via tubestamp.com
    02:23 - Initial token allocation for GPT 4 models was insufficient.
    09:12 - OpenAI's API keeps track of the token limit.
    09:20 - All users share the same token limit, tracking crucial.
    10:01 - Cloud function set up to add data to global queue when tokens are low.
    10:59 - Pub/Sub checks remaining tokens every five minutes.
    11:22 - Pub/Sub allows for efficient token usage management.
    Recap by TubeStamp ✏

  • @Qagpt
    @Qagpt Pƙed 7 měsĂ­ci

    My account is deleted by opanai. How can get it back? How to avoid in future not getting deleted by them?

  • @SchoolPsychAI
    @SchoolPsychAI Pƙed 8 měsĂ­ci

    Very helpful video, thank you!

  • @LouisArquivio
    @LouisArquivio Pƙed 8 měsĂ­ci

    I’m experiencing very slow response from Open AI API these days (± 10 sec). Are you seeing the same ? How to fix that?

    • @webcafeai
      @webcafeai  Pƙed 8 měsĂ­ci

      This typically occurs for two major reasons. The first reason is that the data being processed is large, and therefore it requires more time to produce effective outputs. The second reason is that you are using the GPT-4 model, which is associated with longer response times.